Refinement of the geological model of Jurassic deposits accounting the results of stochastic inversion and facies modeling

IF 0.8 Q3 ENGINEERING, PETROLEUM Georesursy Pub Date : 2023-09-30 DOI:10.18599/grs.2023.3.8
Marina A. Nikanorova, Evgeniy N. Kalinin, Mikhail Yu. Shapovalov, Evgeniy S. Korolev, Nikolay A. Shadchnev, Kirill Yu. Babinov
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Abstract

The paper presents the results of a comprehensive interpretation showing the effective way to integrate seismic data into a three-dimensional geological model. Stochastic inversion was used to increase the reliability of forecasts of productive thicknesses. A comprehensive interpretation of the geological and geophysical information of the Yu21 formation deposits of the Malyshevskaya formation was carried out, including sedimentological analysis of core data, petroelastic modeling of well logging curves for the purposes of stochastic inversion and stochastic inversion of seismic data. An areal forecast of sedimentation environments (facies) was carried out. The resulting three-dimensional geological model, in more detail, compared to the model without taking into account the spatial seismic forecast, emphasizes the heterogeneity of the distribution of properties in the geological environment, which is especially important when planning production drilling with horizontal wells.
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考虑随机反演和相模拟结果的侏罗系矿床地质模型的改进
本文介绍了综合解释的结果,展示了将地震资料整合到三维地质模型中的有效方法。采用随机反演提高生产厚度预测的可靠性。对马莱舍夫斯卡亚组渝21组矿床的地质、地球物理信息进行了综合解释,包括岩心资料的沉积学分析、测井曲线的岩石弹性建模及随机反演和地震资料的随机反演。对沉积环境(相)进行了区域预测。与不考虑空间地震预测的模型相比,得到的三维地质模型更加详细,强调了地质环境中物性分布的非均质性,这在规划水平井生产钻井时尤为重要。
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来源期刊
Georesursy
Georesursy ENGINEERING, PETROLEUM-
CiteScore
1.50
自引率
25.00%
发文量
49
审稿时长
16 weeks
期刊最新文献
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